Spatiotemporal differentiation and spatial correlation of agricultural total factor productivity in China: an estimation based on the data of prefecture-level cities

被引:4
作者
Du, Lei [1 ]
Wang, Fuwei [1 ]
Tian, Minghua [1 ]
Zhao, Zeyu [2 ]
Ma, Shuang [1 ]
Wang, Fang [1 ]
机构
[1] Beijing Forestry Univ, Sch Econ & Management, Beijing 100083, Peoples R China
[2] Yanshan Univ, Sch Econ & Management, Qinhuangdao 066004, Hebei, Peoples R China
来源
CIENCIA RURAL | 2023年 / 53卷 / 04期
关键词
agricultural total factor productivity; spatiotemporal differentiation; spatial correlation; Metafrontier-Malmquist index; Moran index; prefecture-level cities; ENERGY EFFICIENCY; GROWTH; TECHNOLOGY;
D O I
10.1590/0103-8478cr20210877
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
The improvement of agricultural TFP is critical to promoting the high-quality development of agriculture. This paper described and identified the spatiotemporal differentiation characteristics and spatial correlation of China's agricultural TFP in 283 prefecture-level cities from 2001 to 2018 using the Metafroniter-Malmquist and Moran index. The results showed that: (1) From 2001 to 2018, China's agricultural TFP was 6.64%, and its growth was mainly driven by agricultural technological progress. The contribution of agricultural technological efficiency was small. The growth law showed an "inverted U-shaped" growth trend of first rising and then falling. (2) China's agricultural TFP has significant characteristics of regional unbalanced growth. (3) The growth rate of agricultural TFP in most prefecturelevel cities is medium and slow, and most prefecture-level cities relied on agricultural technological progress to promote growth. (4) The agricultural TFP of various cities showed a significant spatial correlation phenomenon of "high-high" or "low-low." This study has significant theoretical and practical value for maintaining the stable growth of China's agricultural TFP and promoting the high-quality development of China's agriculture.
引用
收藏
页数:13
相关论文
共 34 条
  • [1] Aigner D., 1977, J ECONOMETRICS, V6, P21, DOI [DOI 10.1016/0304-4076(77)90052-5, 10.1016/0304-4076(77)90052-5]
  • [2] [Anonymous], CIENC RURAL, V53, P2023
  • [3] Efficiency and total factor productivity of crop production at NUTS1 level in Turkey: Malmquist index approach
    Armagan, Goksel
    Ozden, Altug
    Bekcioglu, Selim
    [J]. QUALITY & QUANTITY, 2010, 44 (03) : 573 - 581
  • [4] Agricultural productivity, structural change, and economic growth in post-reform China
    Cao, Kang Hua
    Birchenall, Javier A.
    [J]. JOURNAL OF DEVELOPMENT ECONOMICS, 2013, 104 : 165 - 180
  • [5] Identification of Transformation Stages and Evolution of Agricultural Development Types Based on Total Factor Productivity Analysis: A Case Study of Gansu Province, China
    Chen, Meimei
    Ma, Libang
    Che, Xinglong
    Dou, Haojian
    [J]. AGRICULTURE-BASEL, 2020, 10 (08): : 1 - 19
  • [6] Efficiency and technology gap in China's agriculture: A regional meta-frontier analysis
    Chen, Zhuo
    Song, Shunfeng
    [J]. CHINA ECONOMIC REVIEW, 2008, 19 (02) : 287 - 296
  • [7] Total factor productivity growth in agriculture: a Malmquist index analysis of 93 countries, 1980-2000
    Coelli, Tim J.
    Rao, D. S. Prasada
    [J]. AGRICULTURAL ECONOMICS, 2005, 32 : 115 - 134
  • [8] Fare R., 1992, Journal of Productivity Analysis, V3, P85, DOI [10.1007/BF00158770, DOI 10.1007/BF00158770]
  • [9] Can climate change influence agricultural GTFP in arid and semi-arid regions of Northwest China?
    Feng, Jian
    Zhao, Lingdi
    Zhang, Yibo
    Sun, Lingxiao
    Yu, Xiang
    Yu, Yang
    [J]. JOURNAL OF ARID LAND, 2020, 12 (05) : 837 - 853
  • [10] Total-factor energy efficiency of coal consumption: An empirical analysis of China's energy intensive industries
    Guo, Pibin
    Qi, Xiaoyan
    Zhou, Xijun
    Li, Wei
    [J]. JOURNAL OF CLEANER PRODUCTION, 2018, 172 : 2618 - 2624